Precipitation analysis and soil moisture from the Global Land Data Assimilation System (GLDAS) are used to assess the land-atmosphere coupling in boreal summer. Correlations between antecedent soil moisture and precipitation suggest that regions of strong land-atmosphere coupling lie mainly in arid to semiarid transition zones or in semihumid forest to grassland transition zones. They consist of central Eurasia, the region from Mongolia to northern China, southwest China, the Sahel, the northern continental United States, and southern Europe. It is found that over these regions, positive soil moisture feedback accounts for typically 10-20% of the variance of monthly precipitation anomalies with the feedback efficiency of the order of 0.3-0.9 mm month(-1) (0.1 standardized soil moisture)(-1). While soil moisture feedback is dominated by the positive sign, negative feedback may exist in some areas, such as India and the western part and Quebec province of Canada. Generally, the land-atmosphere coupling strength estimated from the GLDAS data agrees well with those from the observational soil moisture in Illinois and the European Centre for Medium-Range Weather Forecasts 40-year reanalysis (ERA-40) soil moisture product. Physical mechanisms responsible for the findings are further discussed. This study provides a Northern Hemisphere distribution of the land-atmosphere coupling strength, which can be used to test the model simulations on monthly to seasonal time scales.
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Cornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY 14853 USA
Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USACornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY 14853 USA
Alessi, Marc J.
Herrera, Dimitris A.
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Cornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY 14853 USA
Univ Autonoma Santo Domingo, Inst Geog Univ, Santo Domingo, Dominican RepCornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY 14853 USA
Herrera, Dimitris A.
Evans, Colin P.
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Cornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY 14853 USACornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY 14853 USA
Evans, Colin P.
DeGaetano, Arthur T.
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Cornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY 14853 USA
Cornell Univ, Northeast Reg Climate Ctr, Ithaca, NY USACornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY 14853 USA
DeGaetano, Arthur T.
Ault, Toby R.
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Cornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY 14853 USACornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY 14853 USA
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RIKEN Ctr Computat Sci, Data Assimilat Res Team, Kobe, Japan
Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USARIKEN Ctr Computat Sci, Data Assimilat Res Team, Kobe, Japan
Kurosawa, Kenta
Kotsuki, Shunji
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RIKEN Ctr Computat Sci, Data Assimilat Res Team, Kobe, Japan
Chiba Univ, Ctr Ctr Environm Remote Sensing, Chiba, Japan
Japan Sci & Technol Agcy, PRESTO, Chiba, Japan
RIKEN Interdisciplinary Theoret & Math Sci Program, Kobe, Japan
RIKEN Cluster Pioneering Res, Predict Sci Lab, Kobe, JapanRIKEN Ctr Computat Sci, Data Assimilat Res Team, Kobe, Japan
Kotsuki, Shunji
Miyoshi, Takemasa
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RIKEN Ctr Computat Sci, Data Assimilat Res Team, Kobe, Japan
Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA
RIKEN Interdisciplinary Theoret & Math Sci Program, Kobe, Japan
RIKEN Cluster Pioneering Res, Predict Sci Lab, Kobe, Japan
Japan Agcy Marine Earth Sci & Technol, Yokohama, JapanRIKEN Ctr Computat Sci, Data Assimilat Res Team, Kobe, Japan